Tenure-Track Assistant Professor in the Department of Diagnostic Radiology, School of Clinical Medicine (Ref.:534799)

Ref.: 534799
Work type: Full-time
Department: Department of Diagnostic Radiology, School of Clinical Medicine (20500)
Categories: Professoriate Staff

Applications are invited for appointment as Tenure-Track Assistant Professor in the Department of Diagnostic Radiology, School of Clinical Medicine (Ref.:534799), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and consideration for tenure before the expiry of a second three-year fixed-term contract.

Applicants should possess a Ph.D. degree and associated post-doctoral training in Medical Imaging Artificial Intelligence, Computer Science, or Biomedical Engineering. They should demonstrate (i) evidence of international recognition and scholarship; (ii) the ability to work across disciplines towards new research initiatives; (iii) a strong track record of high-quality research as indicated by publications (including multiple publications in high-impact journals of impact factor >10) and external grants; and (iv) a strong commitment to engage students at undergraduate and postgraduate level.

The appointee will provide leadership in imaging research with particular focus on medical imaging AI research, and assist with managing AI-related infrastructures within the Department. He/She is expected to participate in applications for external competitive research grants for the Department, and will contribute to teach undergraduate and postgraduate programs, supervise student projects and theses, and take up administrative duties as required.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will also be provided as applicable.

The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start from July 2, 2026 and continue until August 2, 2026 or until the post is filled, whichever is earlier.